Comments (4)
I think it would be helpful to update your ReadMe with minimum hardware requirements, since this is a serious obstacle for many people and it leads to not obvious errors.
from bundlesdf.
It has been tested on 3090 and 3090 Ti. In your case, I think either will work.
from bundlesdf.
It seems your GPU RAM is not enough, see this. Better to try on a larger GPU, e.g. 3090 or above. Or you can resize the images to be smaller
from bundlesdf.
@wenbowen123
Since we are interested in your project, we would like to buy a new GPU.
However, we have a preference to buy 4090 vs 3090 Ti. We didn't find any 4090 Ti for buying.
Could you please confirm if your code works with a 4090 (w 24GB VRAM)?
I found these two on Amazon and open to buy whatever 4090 that may work suggested by you.
Thanks a lot for your help.
from bundlesdf.
Related Issues (20)
- How can i get pyrealsense2.so ? HOT 8
- How can I make mask images from my custom rgb data? HOT 1
- How to replicate inference speed mentioned in paper? HOT 1
- cp: cannot stat 'nerf_with_bundletrack_online/image_step_*.png': No such file or directory HOT 1
- Test BundleSDF with Synthetic dataset - discussion HOT 6
- Adding Segmentation Wrapper HOT 1
- How make custom data? HOT 16
- Pose file missing: {video_dir} HOT 3
- after ransac, frame 229 and 151 has too few matches HOT 7
- Update README and Add Crucial Information
- [WARNING] batch has 0 intersections!! HOT 1
- Error while Building bash build.sh HOT 1
- ImportError: libQt5Core.so.5: cannot open shared object : my_cpp HOT 1
- error setting up docker container HOT 5
- If I run custom data, how many RGBs and depths do I need? HOT 1
- error running run_custom.py on milk dataset. HOT 7
- When run_custom.py, No CUDA GPUs are available HOT 1
- connection reset by peer HOT 1
- run_custom.py stops executing after processing a few images in BundleSDF Docker environment
- GPU requirements to run Bundle SDF HOT 1
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from bundlesdf.